Advertisement

 

 

High-density genetic map using whole-genome re-sequencing for fine mapping and candidate gene discovery for disease resistance in peanut.

High-density genetic map using whole-genome re-sequencing for fine mapping and candidate gene discovery for disease resistance in peanut.
Author Information (click to view)

Agarwal G, Clevenger J, Pandey MK, Wang H, Shasidhar Y, Chu Y, Fountain JC, Choudhary D, Culbreath AK, Liu X, Huang G, Wang X, Deshmukh R, Holbrook CC, Bertioli DJ, Ozias-Akins P, Jackson SA, Varshney RK, Guo B,


Agarwal G, Clevenger J, Pandey MK, Wang H, Shasidhar Y, Chu Y, Fountain JC, Choudhary D, Culbreath AK, Liu X, Huang G, Wang X, Deshmukh R, Holbrook CC, Bertioli DJ, Ozias-Akins P, Jackson SA, Varshney RK, Guo B, (click to view)

Agarwal G, Clevenger J, Pandey MK, Wang H, Shasidhar Y, Chu Y, Fountain JC, Choudhary D, Culbreath AK, Liu X, Huang G, Wang X, Deshmukh R, Holbrook CC, Bertioli DJ, Ozias-Akins P, Jackson SA, Varshney RK, Guo B,

Advertisement

Plant biotechnology journal 2018 04 10() doi 10.1111/pbi.12930
Abstract

Whole genome re-sequencing (WGRS) of mapping populations has facilitated development of high-density genetic linkage maps essential for fine mapping and candidate gene discovery for traits of interest in crop species. Leaf spots, including early leaf spot (ELS) and late leaf spot (LLS), and Tomato spotted wilt virus (TSWV) are devastating diseases in peanut causing significant yield loss. We generated WGRS data on a recombinant inbred line population, developed a SNP-based high-density genetic map, and conducted fine mapping, candidate gene discovery and marker validation for ELS, LLS and TSWV. The first sequence-based high density map was constructed with 8,869 SNPs assigned to 20 linkage groups, representing 20 chromosomes, for the "T" population (Tifrunner × GT-C20) with a map length of 3,120 cM and an average distance of 1.45 cM. The quantitative trait locus (QTL) analysis using high-density genetic map and multiple season phenotyping data identified 35 main-effect QTLs with phenotypic variation explained (PVE) from 6.32 to 47.63%. Among major effect QTLs mapped, there were two QTLs for ELS on B05 with 47.42% PVE and B03 with 47.38% PVE, two QTLs for LLS on A05 with 47.63% and B03 with 34.03% PVE, and one QTL for TSWV on B09 with 40.71% PVE. The epistasis and environment interaction analyses identified significant environmental effects on these traits. The identified QTL regions had disease resistance genes including R-genes and transcription factors. KASP markers were developed for major QTLs and validated in the population, and are ready for further deployment in genomics-assisted breeding in peanut. This article is protected by copyright. All rights reserved.

Submit a Comment

Your email address will not be published. Required fields are marked *

17 − 4 =

[ HIDE/SHOW ]